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A Z-Number Valued Regression Model and Its Application

Lala M. Zeinalovaa, O. H. Huseynovb, P. Sharghic

a Department of Computer Engineering, Azerbaijan State University of Oil and Industry, Baku, Azerbaijan;
b Research Laboratory of Intelligent Control and Decision Making Systems in Industry and Economics, Azerbaijan State Oil and Industry University, Baku, Azerbaijan;
c University of Kyrenia, Department of Maritime Management, Kyrenia, North Cyprus

* Corresponding Author:Lala M. Zeinalova, email

Intelligent Automation & Soft Computing 2018, 24(1), 187-192.


Regression analysis is widely used for modeling of real-world processes in various fields. It should be noted that information relevant to real-world processes is characterized by imprecision and partial reliability. This involves combination of fuzzy and probabilistic uncertainties. Prof.. L. Zadeh introduced the concept of a Z-number as a formal construct for dealing with such information. The present stateof-the-art of regression analysis under Z-number valued information is very scarce. In this paper we consider a Z-number valued multiple regression analysis and its application to a real-world decisionmaking problem. The obtained results show applicability of the proposed approach.


Cite This Article

APA Style
Zeinalova, L.M., Huseynov, O.H., Sharghi, P. (2018). A z-number valued regression model and its application. Intelligent Automation & Soft Computing, 24(1), 187-192.
Vancouver Style
Zeinalova LM, Huseynov OH, Sharghi P. A z-number valued regression model and its application. Intell Automat Soft Comput . 2018;24(1):187-192
IEEE Style
L.M. Zeinalova, O.H. Huseynov, and P. Sharghi "A Z-Number Valued Regression Model and Its Application," Intell. Automat. Soft Comput. , vol. 24, no. 1, pp. 187-192. 2018.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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